BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Mondai - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://mondai.tudelftcampus.nl
X-WR-CALDESC:Evenementen voor Mondai
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260219T120000
DTEND;TZID=Europe/Amsterdam:20260219T133000
DTSTAMP:20260421T220421
CREATED:20260122T124509Z
LAST-MODIFIED:20260122T124509Z
UID:10000261-1771502400-1771507800@mondai.tudelftcampus.nl
SUMMARY:TU Delft AI Lunch: AI Regulations (and how to work within them)
DESCRIPTION:Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:\nAI Regulations (and how to work within them)\n This edition of the Delft AI Lunch is focused on AI Regulations and how to work within them. Contributing to the panel discussion are: \n\nAI Act expert Hannah Ruschemeier  (prof. of Public Law at Universität Osnabrück)\,\nEmpirical law expert on GDPR Julia Krämer (PhD at EUR)\,\nData steward Nicolas Dintzner (TPM Faculty)\, and TBA cybersecurity law expert.\n\nMarie-Therese Sekwenz (TPM\, AI Futures Lab) is moderating the panel. \nThis event includes free lunch for which registration is required (help us reduce food waste!) \n(This event will be held in English) \nProgramme\n12.00 – 12.30 | Lunch & networking\n12.30 – 13.30 | Panel AI Regulations and how to work within them: moderated by Marie-Therese Sekwenz\, featuring Hannah Ruschemeier\, Julia Krämer\, and Nicolas Dintzner \nThe Delft AI (Lab) Lunch series\nThis series is part of the Delft AI (Lab) Lunches\, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.\nEvery session\, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events\, you can participate\, learn\, make connections\, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme. \nNote for TU Delft PhDs\nThe TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form\, don’t forget to bring it with you.
URL:https://mondai.tudelftcampus.nl/event/tu-delft-ai-lunch-ai-regulations/
LOCATION:Panorama @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
CATEGORIES:AI Lab Lunch
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2025/06/TU250612_4059_0085-Verbeterd-NR_lowres.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260316T100000
DTEND;TZID=Europe/Amsterdam:20260316T173000
DTSTAMP:20260421T220421
CREATED:20260129T095419Z
LAST-MODIFIED:20260304T134839Z
UID:10000263-1773655200-1773682200@mondai.tudelftcampus.nl
SUMMARY:Towards Democratized Academic LLM Hosting
DESCRIPTION:Towards Democratized Academic LLM Hosting\nA 4TU Joint Workshop on Local Inference Infrastructure (hosted at TU Delft) Large Language Models (LLMs) have become core research infrastructure for academia\, underpinning research\, education\, and innovation across disciplines. Across Dutch and European academia\, multiple initiatives are currently underway to host\, operate\, and govern LLMs locally\, driven by concerns around data sovereignty\, sustainability\, cost\, transparency\, and responsible use. \nThis 4TU.NIRICT-funded workshop brings together currently siloed academic hosting initiatives across Dutch institutions (eg\, Delft\, TU/e\, VU\, WUR\, SURF) to foster knowledge exchange\, technical alignment\, and collaboration around LLM inference infrastructure.  \nThe workshop addresses LLM hosting as a socio-technical challenge\, spanning infrastructure and deployment models\, energy efficiency\, governance and operational sustainability\, tooling ecosystems\, and integration into research and education. It lays the groundwork for a coordinated\, academic-first Dutch ecosystem for responsible\, open LLM hosting. \nFull Programme March 16 10.00 – 10.30 Welcome and Registration \n10.30 – 10.35 Opening Remarks \n10:35-11:20 Keynote 1 - Alexandre Strube – Lessons from the Blablador project\nIn this talk\, we will show some of the challenges and lessons learned while hosting an LLM inference service. BLABLADOR has been running as a single-man-operation for most of its existence\, until very recently. \nThis talk is more of a conversation\, where we will explore themes such as: \n\nReliability\nSoftware Ecosystem and evolution\nFrom small clusters to supercomputers to cloud: quite a messy journey\nWho can use it and handling user abuse\nAdvertising the service\nChoosing which models to offer\nPolitical consequences of model choice\nHow to convince management that it’s worth it\nPresent and future of the service\nJAIF and JARVIS: An AI factory for Blablador\nQuestions from the audience\n\nDr. Alexandre Strube \n\nMaintainer of LMod\, the Supercomputers’ module system\nMaintainer of FastChat\nUbuntu Member\, Debian Developer\n\nDr. Alexandre Strube has been employed at the Juelich Supercomputing Centre for approximately 15 years. During this time\, he has engaged in a diverse range of activities\, encompassing raw performance modeling\, supercomputer benchmarking\, and teaching\, among many others. Notably\, he has been a member of the Helmholtz AI consultants team since 2019\, where he has contributed to the democratization of artificial intelligence within academic institutions. \nDr. Strube has been responsible for the development\, hosting\, and maintenance of BLABLADOR\, the LLM inference infrastructure for the Helmholtz Foundation and German Academia\, for approximately four years. \n11.20 – 11.35 Coffee Break \n11:35-12:35 Breakout Sessions (Round 1)\nMorning (Round 1) \n\nEnergy consumption: Benchmarking approaches; power-aware optimization strategies\nGovernance & Operational Sustainability: Service creation pathways; Financing and maintenance models; Security\, privacy\, and access control; Architectural quality assurance\nTooling around model hosting: Monitoring and observability; guardrails and safety layers; RAG and MCPs; Service abstractions to end-users\n\n12.35 – 13.35 Lunch \n13:35-14:20 Keynote 2 - Julio Alexandrino de Oliveira Filho – National perspectives and GPT-NL\nGPT-NL is a national   initiative to build a large language model grounded in the Dutch language\, culture\, and public values from scratch. Beyond delivering a performant model\, the GPT-NL project set out to explore what it means in practice to develop a sovereign language model—one that is transparent\, inclusive\, compliant with Dutch and European law\, and embedded in a broader public-interest ecosystem. \nThis keynote reflects on the practical experiences accumulated throughout the GPT-NL project in building such a model while simultaneously fostering a diverse and sustainable LLM community. Drawing on lessons learned during data acquisition\, curation\, and training\, the talk will discuss legal and regulatory considerations\, approaches to fair and lawful data use\, and the organizational challenges of aligning academic\, public\, and commercial stakeholders. We give special attention to infrastructure-related questions\, including large-scale training\, hosting\, customization\, and the role of shared HPC and hosting facilities in enabling broader participation. \nBeyond the model itself\, the keynote will examine how the GPT-NL project has sought for community building across researchers\, LLM and AI developers\, data providers\, legal experts\, infrastructure operators\, and application developers—both nationally and in a broader European context. The talk will outline envisioned application domains\, strategies for responsible dissemination\, and open research directions that arise when a language model is treated as a shared societal asset rather than a closed product. \nBy sharing successes\, open challenges\, and unresolved questions\, this keynote aims to contribute concrete insights to the discussion on democratized academic LLM community and to inform future national and European efforts toward sovereign\, community-centered language models. \nDr. Rer Nat. Julio A. de Oliveira Filho researches and develops the next generation of intelligent autonomous systems—spanning robotics\, quantum networks\, IoT sensor systems\, automotive technologies\, and modern Defense applications.  \nAs the leading architect of GPT-NL\, the first Dutch-English large language model trained fully from scratch\, and one of the creators of NetSquid\, the world’s most widely used quantum network simulator\,  Julio thrives at the intersection of advanced AI\, complex systems\, and cutting-edge engineering.  \nHe is passionate about elevating AI engineering into a mature discipline—where autonomous systems are not only powerful\, but reliable\, safe\, and explainable by design. \n14.20 – 14.25 Room Change \n14:25-15:25 Breakout Sessions (Round 2)\nAfternoon(Round 2) \n\nAccelerate production-ready LLM deployment using commercial solutions: Why is this relevant: Possible use cases; NVIDIA AI Enterprise; Microsoft AI Foundry\nEducation & Research Use Cases: Practical implementations; researcher-education feedback loops; implications for curricula; Policy & ethics considerations\nInfrastructure & Deployment: Utilization strategies; deployment models: on-prem\, shared\, and hybrid\n\n15.25 – 15.40 Coffee Break \n15:40-16:40 Panel Discussion: Future of AI & LLM/model hosting in the Netherlands and Europe\nA moderated discussion with academic leaders and national stakeholders exploring how academic institutions should position themselves in a rapidly evolving landscape shaped by national and European initiatives\, open and proprietary models\, emerging AI hubs\, and increasing policy attention. Particular emphasis will be placed on the quality\, governance\, and sustainability of LLM services in an academic context. \n16.40 – 17.40 Borrel & Networking \nSpeakers Alexandre Strube (Helmholtz AI) - Keynote 1\nIn this talk\, we will show some of the challenges and lessons learned while hosting an LLM inference service. BLABLADOR has been running as a single-man-operation for most of its existence\, until very recently. \nThis talk is more of a conversation\, where we will explore themes such as: \n\nReliability\nSoftware Ecosystem and evolution\nFrom small clusters to supercomputers to cloud: quite a messy journey\nWho can use it and handling user abuse\nAdvertising the service\nChoosing which models to offer\nPolitical consequences of model choice\nHow to convince management that it’s worth it\nPresent and future of the service\nJAIF and JARVIS: An AI factory for Blablador\nQuestions from the audience\n\nDr. Alexandre Strube \n\nMaintainer of LMod\, the Supercomputers’ module system\nMaintainer of FastChat\nUbuntu Member\, Debian Developer\n\nDr. Alexandre Strube has been employed at the Juelich Supercomputing Centre for approximately 15 years. During this time\, he has engaged in a diverse range of activities\, encompassing raw performance modeling\, supercomputer benchmarking\, and teaching\, among many others. Notably\, he has been a member of the Helmholtz AI consultants team since 2019\, where he has contributed to the democratization of artificial intelligence within academic institutions. \nDr. Strube has been responsible for the development\, hosting\, and maintenance of BLABLADOR\, the LLM inference infrastructure for the Helmholtz Foundation and German Academia\, for approximately four years. \nJulio Alexandrino de Oliveira Filho (TNO) - Keynote 2\nDr. Rer Nat. Julio A. de Oliveira Filho researches and develops the next generation of intelligent autonomous systems—spanning robotics\, quantum networks\, IoT sensor systems\, automotive technologies\, and modern Defense applications.  \nAs the leading architect of GPT-NL\, the first Dutch-English large language model trained fully from scratch\, and one of the creators of NetSquid\, the world’s most widely used quantum network simulator\,  Julio thrives at the intersection of advanced AI\, complex systems\, and cutting-edge engineering.  \nHe is passionate about elevating AI engineering into a mature discipline—where autonomous systems are not only powerful\, but reliable\, safe\, and explainable by design. \nSovereign Language Models in Practice: The GPT-NL Endeavour in LLM Community Building \nGPT-NL is a national   initiative to build a large language model grounded in the Dutch language\, culture\, and public values from scratch. Beyond delivering a performant model\, the GPT-NL project set out to explore what it means in practice to develop a sovereign language model—one that is transparent\, inclusive\, compliant with Dutch and European law\, and embedded in a broader public-interest ecosystem. \nThis keynote reflects on the practical experiences accumulated throughout the GPT-NL project in building such a model while simultaneously fostering a diverse and sustainable LLM community. Drawing on lessons learned during data acquisition\, curation\, and training\, the talk will discuss legal and regulatory considerations\, approaches to fair and lawful data use\, and the organizational challenges of aligning academic\, public\, and commercial stakeholders. We give special attention to infrastructure-related questions\, including large-scale training\, hosting\, customization\, and the role of shared HPC and hosting facilities in enabling broader participation. \nBeyond the model itself\, the keynote will examine how the GPT-NL project has sought for community building across researchers\, LLM and AI developers\, data providers\, legal experts\, infrastructure operators\, and application developers—both nationally and in a broader European context. The talk will outline envisioned application domains\, strategies for responsible dissemination\, and open research directions that arise when a language model is treated as a shared societal asset rather than a closed product. \nBy sharing successes\, open challenges\, and unresolved questions\, this keynote aims to contribute concrete insights to the discussion on democratized academic LLM community and to inform future national and European efforts toward sovereign\, community-centered language models. \nCorry Wouters (TU/e) - Panelist\nCorry Wouters is CIO and Director of Library & Information Services at Eindhoven University of Technology (TU/e). With over 30 years in commercial tech and healthcare\, she has led major digital transformations in EHRs\, secure interoperability\, and data governance\, delivering scalable\, secure services. At TU/e\, she drives digital innovation to support education\, research\, and societal impact. In 2025\, she was named one of the most innovative leaders in the Netherlands. \nLinkedIn \nArie van Deursen (TU Delft) - Panelist\nArie van Deursen is a professor in software engineering at the department of Software Technology in the faculty of Electrical Engineering\, Mathematics\, and Computer Science. He served as head of department from 2016-2023\, and presently chairs the Software Engineering Research Group (SERG). \nHe is scientific co-director of AI4SE\, a five year collaboration between JetBrains and TU Delft investigating novel use of artificial intelligence in software engineering. This lab hosts 10 PhD students\, dozens of MSc and Bsc students\, and many TU Delft faculty members and JetBrains specialists. \nHe is co-founder of two companies: The Software Improvement Group (2000) and PerfectXL (2010). \nDamian Podareanu (SURF) - Panelist\nLinkedIn \nNiels Taatgen (RUG) - Panelist\nRead all about Niels and his work on the infopage of RUG \nDr. Thijs van der Plas (WUR)\nThijs van der Plas is a postdoctoral AI researcher at Wageningen University & Research in the newly formed AI group. He currently works on ecological data integration in the Dutch LTER-LIFE project and on explainable AI in the ESA-funded AETHER project. Thijs has a background in physics at Radboud University\, holds a DPhil in computational neuroscience from the University of Oxford and worked as Research Associate at the Alan Turing Institute. He currently builds multimodal and explainable AI methods for monitoring biodiversity at scale\, as well as LLM systems for improving data management. \nLink additional info
URL:https://mondai.tudelftcampus.nl/event/towards-democratized-academic-llm-hosting/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2022/05/DO_Mondai_LOGO_futuristischblauw.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260324T123000
DTEND;TZID=Europe/Amsterdam:20260324T153000
DTSTAMP:20260421T220421
CREATED:20260203T112219Z
LAST-MODIFIED:20260223T103206Z
UID:10000264-1774355400-1774366200@mondai.tudelftcampus.nl
SUMMARY:Bijeenkomst AI Gigafactory Rotterdam
DESCRIPTION:Mondai | House of AI en de AI-hub Zuid-Holland\, samen met Volt\,\nnodigen je graag uit voor deze bijeenkomst over de AI Gigafactory in Rotterdam(de voertaal van dit event is Nederlands) \nAI ontwikkelt zich razendsnel. AI-technologieën en innovaties worden breed toegepast in industrie\, publieke diensten en onderwijs. Vragen over de positie van Nederland en Europa in deze ontwikkeling houden iedereen bezig; hoe vormen we onze digitale toekomst en autonomie? \nOp dinsdag 24 maart hosten Volt\, initiatiefnemer van de Europese AI-Gigafactory in Rotterdam\, de AI-hub Zuid-Holland en TU Delft – Mondai | House of AI een bijeenkomst over de realisatieplannen voor de AI-Gigafactory. Tijdens de sessie staat gesprek over het belang van ontwikkeling van zulke infrastructuur centraal. Niet alleen voor de regio\, voor Nederland\, en voor Europa\, maar ook voor de soevereiniteit van jouw organisatie. Daarnaast vormen we ook graag beeld van potentiële use-cases uit jouw (toekomstige) praktijk en de vertaling daarvan naar compute-behoeften en ondersteunende faciliteiten in de AI-Gigafactory. \nMeer weten over de AI-Gigafactory? Lees verder op de pagina van Volt. Dit event is op uitnodiging\, maar we staan zeker open voor alle stakeholders die onderdeel willen zijn van dit gesprek. Meld je aan\, dan komen we in contact. \nProgramma\n12.30 – 13.00 Inloop en Ontvangst met lunch\n13.00 – 13.15 Opening en Introductie door Joost Poort namens TU Delft | Mondai House of AI en de AI-hub Zuid-Holland;\n13.15 – 13.45 Presentatie van de plannen voor en voortgang van de AI-Gigafactory in Rotterdam door Han de Groot namens Volt;\n13.45 – 14.30 Inzichten rond AI & Compute in verschillende praktijken \n\nErick Webbe\, CEO – Kickstart AI\,\nSven Hamelink\, Hoofd Science & Technology – Politie\,\nErik Scherff\, CIO | IT-director TU Delft.\n\n14.30 – 15.30 Discussie onder begeleiding van moderator Tom Jessen \nKom in ContactVragen over de AI Gigafactory? Neem vooral contact met ons op! \nJoost Poort\nDirecteur Mondai | House of AI\nAI Innovation Lead TU Delft\nHan de Groot\nCEO Volt\nInitiator van de AI-Gigafactory
URL:https://mondai.tudelftcampus.nl/event/ai-gigafactory-bijeenkomst/
LOCATION:Panorama @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2026/02/Volt-AIGF.png
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260413
DTEND;VALUE=DATE:20260415
DTSTAMP:20260421T220421
CREATED:20260121T121443Z
LAST-MODIFIED:20260202T104616Z
UID:10000260-1776038400-1776211199@mondai.tudelftcampus.nl
SUMMARY:AI4b.io Annual Symposium 2026
DESCRIPTION:AI4b.io Annual Symposium 2026We are excited to invite you to the fifth AI4b.io Symposium\, where cutting-edge Artificial Intelligence meets the complex challenges of Bioscience. Taking place in the vibrant city of Delft\, this year’s symposium is themed: Living Systems and Learning Machines: Shaping the Future of Bioscience \nThis year’s symposium is hosted by Mondai\, House of AI\, located in Delft. This free of charge event offers a unique platform to exchange ideas\, present innovative research\, and forge meaningful connections across academia and industry. Whether you’re advancing theoretical frameworks or driving practical applications\, this symposium fosters collaboration to push the frontiers of AI in bioscience. \nWhat to Expect\nImmerse yourself in two days of: \n\nInspiring Presentations and Posters: Dive into diverse topics ranging from large-scale factory scheduling to the genetic manipulation of microorganisms.\nEngaging Interdisciplinary Discussions: Explore the intersection of AI and bioscience across fields like:\n\nScheduling in process industries\nFluid dynamic modeling\nLab automation\nOptimal experimental design\nMicrobiome precision feed\nMetabolic engineering\nMolecular machine learning\nHuman-aware constrained optimization\n\n\n\nExperience the power of AI at the AI4b.io symposium\, featuring today’s most advanced techniques—machine learning\, deep learning\, and generative AI—transforming ideas into impact.\n\n\nConfirmed invited speakers\n\nHalima Mouhib | Towards Artificial Olfaction\nAssociate Professor at Vrije Universiteit Amsterdam\nLukas Sgenger | A Digital Platform for the Design\, Control and Scale-Up of Bioprocesses\nChemical Engineer at SimVantage GmbH\n\nShowcase Your Work\nSubmit your abstracts\, open for selection\, to present your research orally or via a poster session. Deadline for submission is February 12th 2026. (abstract template) \nPoster pitches \nA dedicated time slot for poster pitches has been scheduled on Day 2 to help draw attention to the posters. Presenters have the opportunity to give a brief 2-minute pitch summarizing their work before the poster session begins. Participation is optional\, and slides will be compiled into a single presentation for smooth transitions. The poster session will follow immediately after the pitches. \nWhy Delft?\nDelft\, renowned for its historic charm and innovation culture\, provides the perfect backdrop for this event. Conveniently located near major airports: \n\nSchiphol Airport: Direct train connection (~40 minutes) to Delft’s main station\nRotterdam Airport: 20-minute taxi ride to the city center\n\nInformation and Registration AI4b.io Symposium
URL:https://mondai.tudelftcampus.nl/event/ai4b-io-annual-symposium-2026/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2026/01/TU-innovatie-centrum-nieuwe-locatie-Foto-Sander-Foederer-5004-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260414
DTEND;VALUE=DATE:20260415
DTSTAMP:20260421T220421
CREATED:20260119T084602Z
LAST-MODIFIED:20260121T090650Z
UID:10000259-1776124800-1776211199@mondai.tudelftcampus.nl
SUMMARY:The Dutch AI Congress 2026
DESCRIPTION:Impact with AI\, the Fair Tech wayOn Tuesday\, April 14\, 2026\, AIC4NL will again organize The Dutch AI Congress at DeFabrique\, Utrecht. The national stage where government\, knowledge institutions\, business and start-ups together give direction to the application of responsible AI in the Netherlands. \nWith the theme “Impact with AI\, the Fair Tech way\,” this edition revolves around one central question: how do we use AI to create social and economic value\, without losing the human touch? \nThe conference offers: \n\nA plenary morning program with highly topical keynotes and panel discussions.\nTwo rounds of breakout sessions on policy\, technology and practice.\nA plenary closing session with insights\, interaction\, and inspiration.\nA diverse exhibition floor featuring startups\, AI initiatives\, and creative AI applications.\nA pleasant networking event.\n\nThis is a paid event. AIC4NL participants will receive discounted or free tickets. More information will follow soon. \nAIC4NL Congres 2026
URL:https://mondai.tudelftcampus.nl/event/the-dutch-ai-congress-2026/
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2024/12/AIC4NL-Centered-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260506T090000
DTEND;TZID=Europe/Amsterdam:20260507T170000
DTSTAMP:20260421T220421
CREATED:20251217T183837Z
LAST-MODIFIED:20260415T094057Z
UID:10000255-1778058000-1778173200@mondai.tudelftcampus.nl
SUMMARY:Designing and Developing Ethically Aligned Defence AI
DESCRIPTION:Mondai | House of AI is pleased to host the\nDesigning and Developing Ethically Aligned Defence AI Conference\norganised by the ELSA Defense Lab\, in collaboration with the TU Delft Digital Ethics CentreAdvances in artificial intelligence (AI) are enabling military systems to operate in environments where uncertainty\, adversarial dynamics\, and time-critical decision-making are the norm rather than the exception. In such contexts\, ethical design cannot rely solely on predictable scenarios\, assumptions of human oversight\, or static rule-based constraints; rather\, it requires careful and substantial ethical programming and design to ensure that AI-enabled systems behave in alignment with moral and legal principles throughout their operational lifecycle. \nThis conference explores how ethically aligned military AI can be conceived\, designed\, and developed for deployment in uncertain\, adversarial\, and time-critical environments. Across two days\, contributors examine normative and methodological foundations related to the embedding of moral and ethical constraints during the early stages of the lifecycle of military AI systems. \nConference ProgrammeDay 1 – May 6 08.30 – 09.00 Walk in and Registration\n09.15 – 09.30 Welcoming Remarks \n09.30 – 10.15 From Principles to Practice: An Actionable Value-Based Risk Governance Dashboard for Defense AI by Jasper van der Waa\, Lotte Kerkkamp-de Rijcke and Birgit van der Stigchel (Netherlands Organization for Applied Scientific Research-TNO)\n10.15 – 11.00 Ethical Hazard Assessment: A Functional Approach to Assess Machine Learning Risks in Airborne Weapon Systems by Hauke Budig (Hamburg University of Technology)\, Volker Gollnick (Hamburg University of Technology)\, Nathan Gabriel Wood (Hamburg University of Technology / California Polytechnic State University San Luis Obispo /Center for Environmental and Technology Ethics – Prague) and Scott Robbins (Karlsruhe Institute of Technology) \n11.00 – 11.30 Break \n11.30 – 12.15 Meeting the Moral Responsibilities Associated with Dual-Use AI Through Three Practical Solutions by Daniel Trusilo (University of St. Gallen) and David Danks (University of Virginia)\n12.15 – 13.00 The Disinformation Bomb: Generative AI\, Deepfake Detection\, and the Industrialization of Deception by Mark Evenblij (DuckDuckGoose) \n13.00 – 14.00 Lunch Break \n14.00 – 14.45 Designing Responsible AI for Cognitive Warfare by Jurriaan van Diggelen\, Aletta Eikelboom\, Neill Bo Finlayson\, Jose Kerstholt\, Kimberley Kruijver (Netherlands Organization for Applied Scientific Research-TNO)\n14.45 – 15.30 Rights-Preserving Framework to Bot Detection in AI-Enabled Cognitive Warfare by Henning Lahmann (Leiden University) and Perica Jovchevski (Delft University of Technology) \n15.30 – 16.00 Break \n16.00 – 17.30 Keynote Lecture: Military AI\, Transdisciplinarity and the Politics of Design by Filippo Santoni de Sio (Eindhoven University of Technology) \nDay 2 – May 7 09.00 – 09.30 Walk in \n09.30 – 10.15 AI-Enabled Decision-Support Systems and the In Bello Trilemma: Recalibrating Feasible Precaution in Armed Conflict by Ann-Katrien Oimann (Tilburg University)\n10.15 – 11.00 Automated Adversariality: LLMs\, Objectivity\, and Autonomy in Intelligence Analysis by Nicholas Johnston (Delft University of Technology/ Netherlands Organization for Applied Scientific Research-TNO) and Martin Sand (Delft University of Technology) \n11.00 – 11.30 Break \n11.30 – 12.15 Sabotage and Espionage in Grey Zone Warfare: Responsible Data Integrated Threat Assessment of Shadow Fleet Activities by Liselotte Polderman-Borst (Leiden University / Delft University of Technology / Netherlands Defense Academy) and Stefan Buijsman (Delft University of Technology)\n12.15 – 13.00 Encoded Values: Tradeoffs in Programing Language and Development Methods for Military Software by Joshua S. Greenberg and Varija Mehta (Cornell University) \n13.00 – 14.00 Lunch Break \n14.00 – 14.45 Meaningful Human Control in C-UAS and Swarming Strike by Lennart Bult and Flip van Wijk (Emergent Swarm Solutions B.V.)\n14.45 – 15.30 Authority\, Accountability and AI: The Case for Indexed Alignment by Bryce Goodman (University of Oxford) \n15.30 – 16.00 Break \n16.00 – 17.30 Keynote Lecture: Empirical Perspectives on the Ethical Use and Development of Military AI by Christine Boshuijzen-van Burken (Netherlands Defense Academy / Eindhoven University of Technology) \nOrganisation \nPerica Jovchevski\, Post-doctoral Researcher in the section of Ethics and Philosophy of Technology at TU Delft.\nStefan Buijsman\, Associate Professor Responsible AI at TU Delft.
URL:https://mondai.tudelftcampus.nl/event/elsa-defense-designing-developing-ethically-ai/
LOCATION:Connect @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2025/12/TUD_Mondai_AI_GlobAIPol_networking.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260513T090000
DTEND;TZID=Europe/Amsterdam:20260513T110000
DTSTAMP:20260421T220421
CREATED:20260415T130215Z
LAST-MODIFIED:20260416T080145Z
UID:10000266-1778662800-1778670000@mondai.tudelftcampus.nl
SUMMARY:Information Session: AI-Hub Zuid-Holland x Breaking Barriers
DESCRIPTION:Information Session: AI-Hub Zuid-Holland x Breaking Barriers\n(The event will be held in English) \nAI-Hub Zuid-Holland and Breaking Barriers are proud to host a Information Session\, where participants have the opportunity to learn more about the Breaking Barriers programme and how it supports ambitious AI startups in overcoming growth challenges and scaling into successful international players. \nBreaking Barriers\nAs an AI startup\, you want to break through\, grow\, and make an impact. Building a pioneering company comes with many challenges. How do you attract follow-up funding to accelerate your growth? How do you find and retain top talent to achieve ambitions? And how do you ensure that your company reaches new and international markets? \nThe AiNed Breaking Barriers programme is designed to turn these kinds of challenges into opportunities. With a tailor-made program\, we support you in accelerating your growth path. Our goal? Strengthen the Dutch AI ecosystem in such a way that promising Dutch startups become successful international players. To achieve this goal\, we work together with valuable partners. \nAre you an AI startup or scale‑up interested in the program? The event is mainly invite‑only\, but we’re open to AI‑driven startups and scale‑ups who want to join the conversation. Register your interest and we’ll get in touch. \nAbout Breaking BarriersPreliminary Programme 09.00 – 09.30 Walk in \n09.30 – 10.15 Information for Start-ups from Zuid-Holland about Breaking Barriers \n10.15 – 11.00 Short pitches by the startups and matchmaking with Breaking Barriers \n11.00 End of programme \nKom in Contact\nVragen over dit evenement? Neem vooral contact met ons op! \nJoost Poort\nDirecteur Mondai | House of AI\nAI Innovation Lead TU Delft\nDario Turelli\nBusiness Developer Mondai | House of AI
URL:https://mondai.tudelftcampus.nl/event/breaking-barriers-2/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2024/10/Zuid-HollandAI-kleur.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260527T130000
DTEND;TZID=Europe/Amsterdam:20260527T173000
DTSTAMP:20260421T220421
CREATED:20260417T080624Z
LAST-MODIFIED:20260417T092614Z
UID:10000267-1779886800-1779903000@mondai.tudelftcampus.nl
SUMMARY:Bloopers of Brilliance: When Science Goes Sideways
DESCRIPTION:Mondai | House of AI is happy to host the next edition of the AI PhD & Postdoc Spring Symposium\, together with the TU Delft AI Initiative and the AI PhD Committee! \nBloopers or Brilliance: When Science goes Sideways (De voertaal van dit event is Engels) \n\nAre you a PhD or postdoc researcher at TU Delft working on AI-related topics? You are cordially invited!  \n\nHosted on May 27th (13:00 – 17:30) at Panorama XL@Mondai | House of AI\, this year’s event is going to shake things up and focus on a less-talked-about side of science – embracing scientific failures! The event includes poster pitches\, an interactive panel discussion on the importance of negative results\, errors\, and failures in science\, keynotes from final year PhDs\, and the ever-important borrel. It’s an excellent opportunity to present your research (particularly what did not go to plan) and network with fellow AI-focused scholars across campus. \nProgramme (preliminary) 13:00 – 17:30 \n\nKeynotes & talks from final year PhDs working in/with AI at TU Delft\nPanel discussion on embracing scientific failure\nPoster market: You are invited to contribute to this event with your own poster and/or abstract! See poster requirements below. Final deadline for participating with hand in: May 18th\n\nThe afternoon session will end in a casual manner with drinks\, refreshments and an opportunity for networking. More details to be announced so keep an eye on this page for more updates on speakers and panellists! \nPosters and/or ‘failure’ abstract Researchers at all stages of their PhD and working in all different areas of AI are welcome: \n\nMachine learning and foundational AI techniques\nHuman-centered AI systems\nApplication of AI\nFairness\, bias\, legal\, and ethical considerations of AI\nEducation and AI\nDesign with AI\nReflexive and critical research on AI\nAnd more…\n\nPrizes for best poster and ‘failure abstracts’ to be announced! \nRequirements \nYou can submit either A) a poster with a short description of failure or B) a ‘failure abstract’\, aka a short description of the research you wanted to do\, but it didn’t quite work out. \n\nA) If you’re bringing a printed poster\, we request a short description of the efforts that went awry before the successful work. What went wrong in the project before it succeeded? It can be a misstep\, a small mistake\, or a significant error—it can be any way to show that the research is rarely a smooth process.\n\nB) Alternatively\, you can submit a short description explaining the intended goal and how it did not go to plan. Here\, you don’t have to have succeeded; it can be an idea that you eventually abandoned!  \n\n\nFor A) Poster A1 or A0 size \n\nPrinting is available via the AI Initiative for new posters in A0 format. Send in as PDF\, JPEG\, or PNG (portrait mode\, 300 DPI). \n\n\nFor A) and B)\, we expect abstract submissions of up to 300 words for both types. Send in as PDF or DOC(X).\nSubmissions can be made via the registration form available on this page\n\n\n\nRegister & submit your poster and/or ‘failure abstract’ by Monday\, 18 May. \nAny questions? Please contact the AI PhD Committee at AI-PhD-Committee@tudelft.nl \nSpeakers Keynotes & talks from final year PhDs \nModeling Discretization Error with the Bayesian Finite Element Method for Better Parameter Estimates by Anne Poot\nKeynote by Anne Poot (SLIMM Lab\, CEG)\nCan computation itself be probabilistic? In this talk\, I will give a crash course on the finite element method\, demonstrate the issue of discretization error\, and describe how this error can be modeled probabilistically. We will see that by reinterpreting the finite element method from a Bayesian point of view\, we can get better performance in downstream applications such as parameter estimation in inverse problems.\n \nCan neural networks design better structures faster? Neural parameterizations in topology optimization by Surya Manoj Sanu\n \nLayman talk by Surya Manoj Sanu (MACHINA Lab\, ME)\nAs engineers\, we constantly simplify problems so we can solve them faster. That’s why it sounds counterintuitive to add complexity to an already well-defined structural optimization problem. Why make things more complicated? In this talk\, we explore exactly that idea. We introduce an unsupervised neural network — the “extra complexity” — into a traditional topology optimization pipeline — the “simple” engineering workhorse. And surprisingly\, this added layer of intelligence can improve how we design structures. But\, as in all good science\, there’s not only the good. There’s also the bad — and sometimes\, the ugly and we will try to unpack all of this! \nSearch Machines for Architects by Casper van Engelenburg\nKeynote by Casper van Engelenburg (AiDAPT Lab\, A+BE)\nWhile image-based retrieval has drastically diversified the use cases of modern-day search engines\, their relevance judgments are far from optimal for disciplines like architecture\, which heavily rely on visual data that are fundamentally different from the natural photos most search engines are trained on. Where natural photo understanding focuses on appearance mainly (color\, texture)\, architectural drawing understanding is about understanding graphic-like drawings—floor plans\, sections\, axonometric projections\, etc.—that emphasize the composition and organization of the spaces that we live in. Therefore\, to accurately judge relevance between architectural drawings\, we must rethink what it means to be similar and explore how to train domain-specific models or fine-tune pretrained large vision models on architectural data. In this talk\, I will present several of our recent works that highlight advancements in floor plan representation learning and the necessity of building high-quality architectural datasets. \nTensor decompositions for the analysis of functional ultrasound data by Sofia Kotti\nLayman talk by Sofia Kotti (DeTAIL Lab\, EEMCS)\nFunctional ultrasound indirectly measures brain activity through changes in cerebral blood flow. Tensor decompositions provide a natural framework for analysing the acquired data by exploiting their multidimensional structure and expressing them in terms of latent components. This can help identify underlying spatial and temporal patterns in brain activity\, supporting improved interpretation of functional ultrasound measurements. \nPanel: Embracing Scientific Failure \nHow can we think about and practically approach our failures in science? And how can we make them visible through\, for instance\, documentation? \n\n\nThis panel explores what scientific failure really means across different disciplines\, from rejected papers and failed grant applications\, to broader personal and professional setbacks. Speakers reflect on how failure is defined within their fields\, share their own experiences at both an individual and disciplinary level\, and discuss how these moments have shaped their work. By examining not just the challenges but also the lessons learned\, the panel aims to highlight how failure can be an essential and productive part of the scientific process. \nDuring this panel discussion\, Elvire Landstra (Tilburg University)\, Agostino Nickl (A+BE)\, Nazli Cila (IDE)\, and Megha Khosla (EEMCS) will shed light on different definitions of ‘scientific failure’ and how to deal with them.
URL:https://mondai.tudelftcampus.nl/event/ai-phd-postdoc-symposium-bloopers-brilliance/
LOCATION:Panorama @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2025/10/TU250612_4059_0283_lowres.jpg
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
END:VCALENDAR